Principal Software ML Engineer

About the role

HP is seeking a Principal Software ML Engineer to define and guide the architecture of modern software platforms within HP’s device and services ecosystem.

Responsibilities

• Partner directly with customers and internal product/design teams to gather feedback, validate early product concepts, and translate customer insights into architecture decisions for edge AI-enabled incubation products.
• Define and own the end-to-end software architecture for complex software platforms spanning client applications, backend services, cloud-connected workflows, local device interactions, and enterprise integrations.
• Establish architectural direction, technical principles, design patterns, and platform-level decisions that enable scalability, reliability, maintainability, performance, security, privacy, and extensibility.
• Provide technical leadership for AI-enabled software capabilities, including AI service integration, LLM workflows, model orchestration, inference API integration, evaluation pipelines, responsible AI considerations, and operational guardrails.
• Drive architectural alignment across local applications, cloud services, enterprise identity systems, connected devices, firmware-adjacent interfaces, device management platforms, and backend systems.
• Identify and resolve complex system-level challenges related to performance, responsiveness, startup time, latency, resource utilization, observability, reliability, and long-term maintainability.
• Define non-functional requirements for security, privacy, compliance, auditability, manageability, deployment readiness, diagnostics, supportability, and enterprise governance.
• Mentor senior engineers and technical leads, helping raise engineering standards in architecture, code quality, design documentation, test strategy, technical reviews, and software lifecycle management.
• Create and maintain architecture documentation, decision records, system diagrams, integration specifications, technical roadmaps, risk assessments, and platform evolution plans.
• Evaluate emerging technologies, frameworks, cloud services, AI development patterns, and enterprise software platforms to determine practical adoption opportunities.
• Influence cross-functional stakeholders and leadership by clearly communicating architectural trade-offs, risks, dependencies, technical debt, and recommended investment areas.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering.
• 10+ years of software engineering experience, including significant experience designing and delivering complex software platforms, distributed systems, enterprise applications, cloud-connected products, or device-integrated software solutions.
• 5+ years of experience in a technical leadership, architecture, principal engineer, staff engineer, or equivalent role.
• Deep experience designing modern software architectures across frontend applications, backend services, local applications, cloud services, APIs, data models, and enterprise integrations.
• Strong technical depth in one or more frontend technologies such as Angular, React, TypeScript, JavaScript, HTML, and CSS.
• Strong backend and systems development experience with languages such as Rust, Python, C#, Node.js, Go, or similar.
• Experience defining architecture for Windows desktop applications, companion applications, background services, system tray applications, OS-integrated applications, or software that interacts with local system services.
• Strong understanding of API design, service-oriented architecture, distributed systems, event-driven workflows, asynchronous processing, application state management, and integration design.
• Experience with AI service integration, LLM APIs, prompt workflows, model orchestration, embeddings, inference APIs, evaluation pipelines, and responsible AI development practices.
• Experience integrating local software with cloud services, backend systems, enterprise identity providers, device management platforms, and enterprise software ecosystems.
• Strong understanding of software security, privacy, authentication, authorization, compliance, audit logging, data protection, and enterprise governance requirements.
• Experience with Git-based development workflows, CI/CD pipelines, automated testing strategies, release engineering, and production support practices.

Qualifications

• Experience with Tauri, WebView, WebRTC, COM interfaces, PowerShell automation, native application integration, or cross-platform desktop application frameworks.
• Experience with Microsoft Graph, Microsoft Intune, Azure services, enterprise APIs, identity platforms, SSO, device management, or manageability workflows.
• Experience with enterprise manageability solutions (MS Intune, ADMX/Group Policy, HP WXP or similar MDM/UEM platforms).
• Experience with connected-device software, peripheral integration, local device discovery, firmware-adjacent workflows, or hardware/software co-design.
• Experience building architecture for incubation products, proof-of-concept platforms, beta programs, early-stage software initiatives, or new product introductions.

Pay and Benefits

The pay range for this role is $165,450 to $259,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including:
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave